Tuo Wang

417 citations
45 papers · 309 · h-index 10

Impact in

Papers in

Tuo Wang

39 papers receiving 297 citations

Peers

Tuo Wang
Comparison fields: 5 of 83
  • Statistics and Probability 31
  • Computational Theory and Mathematics 54
  • Artificial Intelligence 93
  • Management Science and Operations Research 34
  • Information Systems 62
Replace Fei Zheng with:
Fei Zheng China
Deba Prasad Mandal India
Tian Gao United States
Carlos Eduardo Fisch de Brito Brazil
Ilyes Jenhani Saudi Arabia
Wojciech Kwedlo Poland
Heiko Timm Germany
Wenjie Wang China
Song Mao China
Tuo Wang relative to Fei Zheng China Fei Zheng's profile →
Citations per field
00.5×2×3.2×
Fei Zheng · 1×
Citations per year

Countries citing papers authored by Tuo Wang

Since Specialization
Citations

This map shows the geographic impact of Tuo Wang's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Tuo Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tuo Wang more than expected).

Fields of papers citing papers by Tuo Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tuo Wang. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Tuo Wang. The network helps show where Tuo Wang may publish in the future.

Co-authors

The 25 scholars most cited alongside Tuo Wang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Tuo Wang Line = papers co-authored together Tuo Wang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200844
2 201942
3 202027
4 202024
5 201922
6 202219
7 202314
8 202413
9 202412
10 201310
11 20127
12 20237
13 20087
14 20226
15 20245
16 20214
17 20204
18
A novel intrusion detection system based on the 2-dimensional space distribution of average matching degree
20113
19 20173
20 20243

About Tuo Wang

Tuo Wang is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Computer Networks and Communications, Computational Theory and Mathematics and Information Systems, having authored 45 papers that have together received 309 indexed citations. Recurring topics across this work include Network Security and Intrusion Detection (6 papers), Face and Expression Recognition (5 papers), Video Surveillance and Tracking Methods (5 papers), Internet Traffic Analysis and Secure E-voting (3 papers), Rough Sets and Fuzzy Logic (3 papers), Anomaly Detection Techniques and Applications (3 papers), Statistical Methods in Clinical Trials (3 papers) and Advanced Computational Techniques and Applications (3 papers). The work is most often cited by research in Statistics and Probability (31 citations), Computational Theory and Mathematics (54 citations), Artificial Intelligence (93 citations), Management Science and Operations Research (34 citations) and Information Systems (62 citations). Tuo Wang has collaborated with scholars based in China, United States and Japan. Frequent co-authors include QingE Wu, Lu Mao, Long Lan, Zhigang Luo, Mingwei Liu, Zhenchang Xing, Xin Peng, Xuefang Bai, Xiang Zhang and Chong Wang. Their work appears in journals such as Statistics in Biopharmaceutical Research, Computers, materials & continua/Computers, materials & continua (Print), Complexity, Journal of Computational and Applied Mathematics and Ecological Informatics.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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